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dc.contributor.authorChavan Dafle, Nikhil Narsingh
dc.contributor.authorRodriguez Garcia, Alberto
dc.date.accessioned2020-08-25T19:45:50Z
dc.date.available2020-08-25T19:45:50Z
dc.date.issued2018-09
dc.date.submitted2018-05
dc.identifier.isbn9781538630815
dc.identifier.urihttps://hdl.handle.net/1721.1/126807
dc.description.abstractThis paper presents an approach to in-hand manipulation planning that exploits the mechanics of alternating sticking contact. Particularly, we consider the problem of manipulating a grasped object using external pushes for which the pusher sticks to the object. Given the physical properties of the object, frictional coefficients at contacts and a desired regrasp on the object, we propose a sampling-based planning framework that builds a pushing strategy concatenating different feasible stable pushes to achieve the desired regrasp. An efficient dynamics formulation allows us to plan in-hand manipulations 100-1000 times faster than our previous work which builds upon a complementarity formulation. Experimental observations for the generated plans show that the object precisely moves in the grasp as expected by the planner.en_US
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/icra.2018.8461243en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleStable Prehensile Pushing: In-Hand Manipulation with Alternating Sticking Contactsen_US
dc.typeArticleen_US
dc.identifier.citationChavan-Dafle, Nikhil and Alberto Rodriguez. "Stable Prehensile Pushing: In-Hand Manipulation with Alternating Sticking Contacts." IEEE International Conference on Robotics and Automation (ICRA), May 2018, Brisbane, Australia, Institute of Electrical and Electronics Engineers, September 2018 © 2018 IEEEen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.relation.journalIEEE International Conference on Robotics and Automation (ICRA)en_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2020-08-03T12:51:00Z
dspace.date.submission2020-08-03T12:51:03Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusComplete


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